Emphasis on Genetic Algorithm (GA) Over Different PID Tuning Methods of Controlling Servo System Using MATLAB
Keywords:
PID Tuning, PID Controller, Genetic Algorithm, MATLAB, Servo SystemAbstract
This paper describes Genetic Algorithm, which maintains the accuracy of the output of a system. Here we discuss about the control method of Genetic Algorithm tool on a Servo System. Our objective is to deduce the best tuning method among Genetic algorithm and other conventional tuning methods. The paper presents details on the algorithm and implementation, including the major components in our design: recombination, mutation, fitness function. The algorithm was implemented with Genetic Algorithm tool in MATLAB R2010 for performance evaluation. The simulation showed that the algorithm helped the output to be superior over all the other conventional methods of tuning. First of all the actual response of a “servo-system” is evaluated and the time domain specifications are noted. Thereafter, the specifications with variations of parameters are compared with original system values after the system is tuned by Zeigler-Nichols and Tyreus-Luben method. A greater improvement is observed with the tuning method of Genetic Algorithm.
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